Condition: New.
Language: English
Published by Springer London Ltd, England, 2012
ISBN 10: 1447142543 ISBN 13: 9781447142546
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. This work investigates two-dimensional change detection methods. The existing methods in the literature are grouped into four categories: pixel-based, transformation-based, texture analysis-based, and structure-based. In addition to testing existing methods, four new change detection methods are introduced: fuzzy logic-based, shadow detection-based, local feature-based, and bipartite graph matching-based. The latter two methods form the basis for a structural analysis of change detection. Three thresholding algorithms are compared, and their effects on the performance of change detection methods are measured. These tests on existing and novel change detection methods make use of a total of 35 panchromatic and multi-spectral Ikonos image sets. Quantitative test results and their interpretations are provided. Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. In addition to testing existing methods, four new change detection methods are introduced: fuzzy logic-based, shadow detection-based, local feature-based, and bipartite graph matching-based. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Condition: New.
Condition: As New. Unread book in perfect condition.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 47.99
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: Chiron Media, Wallingford, United Kingdom
PF. Condition: New.
Language: English
Published by Springer-Verlag New York Inc, 2012
ISBN 10: 1447142543 ISBN 13: 9781447142546
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. 2012 edition. 82 pages. 8.75x6.00x0.25 inches. In Stock.
Language: English
Published by Springer London Ltd, England, 2012
ISBN 10: 1447142543 ISBN 13: 9781447142546
Seller: AussieBookSeller, Truganina, VIC, Australia
Paperback. Condition: new. Paperback. Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. This work investigates two-dimensional change detection methods. The existing methods in the literature are grouped into four categories: pixel-based, transformation-based, texture analysis-based, and structure-based. In addition to testing existing methods, four new change detection methods are introduced: fuzzy logic-based, shadow detection-based, local feature-based, and bipartite graph matching-based. The latter two methods form the basis for a structural analysis of change detection. Three thresholding algorithms are compared, and their effects on the performance of change detection methods are measured. These tests on existing and novel change detection methods make use of a total of 35 panchromatic and multi-spectral Ikonos image sets. Quantitative test results and their interpretations are provided. Change detection using remotely sensed images has many applications, such as urban monitoring, land-cover change analysis, and disaster management. In addition to testing existing methods, four new change detection methods are introduced: fuzzy logic-based, shadow detection-based, local feature-based, and bipartite graph matching-based. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Condition: new. Questo è un articolo print on demand.
Seller: moluna, Greven, Germany
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discusses change detection methods for remote sensing applicationsSummarizes well-known methods in the literatureProposes novel methods to solve the problemChange detection using remotely sensed images has many applications, such.